Répertoire du corps professoral

 Integrated Water Resources Management for sustainable development using artificial intelligence approaches
Programme: Subventions à la découverte SD (individuelles et d'équipe)
Organisme(s) subventionnaire(s): Conseil de recherches en sciences naturelles et génie Canada, Secrétariat Inter-Conseils (Canada) (CRSH, CRSNG, IRSC)
Établissement tête: Université Laval
Du 1 avril 2020 au 31 mars 2025

Logiciel-conseil en gestion et restauration des sols minéraux
Programme: Programme de soutien aux organismes de recherche et d’innovation (PSO) - Volet 2 : Soutien aux projets
Organisme(s) subventionnaire(s): Soleno inc., Ministère de l'Économie et de l'Innovation, Elmec inc, Pleine Terre
Établissement tête: Université Laval
Du 1 septembre 2021 au 31 août 2022

Validation du potentiel de la télédétection comme outil de suivi du carbone organique des sols agricoles à l’échelle de l’entreprise
Programme: Accélération-Élévation
Organisme(s) subventionnaire(s): MITACS Inc.
Établissement tête: Université Laval
Du 1 février 2022 au 30 juillet 2022

Elham Koohikeradeh, Doctorat en sols et environnement

Mathieu Rémy, Doctorat en sols et environnement

Mohammad Zeynoddin, Doctorat en sols et environnement

Isa Ebtehaj, Doctorat en sols et environnement

Encadrements terminés dans les 5 dernières années

Mahsa Mirghoreishiroodbaneh, Doctorat en sols et environnement

Publications des 5 dernières années

Deriving the governing equation for a shock damper to model the unsteady flow caused by sudden valve closure and sudden demand change Journal of Water Supply Research and Technology-Aqua, 2018. Bostan, Mohammad, Akhtari, Ali Akbar, Bonakdari, Hossein. DOI 10.2166/aqua.2017.116

Prediction of scour depth around bridge piers using self-adaptive extreme learning machine Journal of Hydroinformatics, 2017. Ebtehaj, I., Sattar Ahmed, M.A., Bonakdari, H., Zaji, A.H.. DOI 10.2166/hydro.2016.025

An expert system for predicting shear stress distribution in circular open channels using gene expression programming Water Science and Engineering, 2018. Khozani, Zohreh Sheikh, Bonakdari, Hossein, Ebtehaj, Isa. DOI 10.1016/j.wse.2018.07.001

Sensitivity analysis of the factors affecting the discharge capacity of side weirs in trapezoidal channels using extreme learning machines Flow Measurement and Instrumentation, 2017. Azimi, H., Bonakdari, H., Ebtehaj, I.. DOI 10.1016/j.flowmeasinst.2017.02.005

An integrated framework of Extreme Learning Machines for predicting scour at pile groups in clear water condition Coastal Engineering, 2018. Ebtehaj, Isa, Bonakdari, Hossein, Moradi, Fatemeh, Gharabaghi, Bahram, Khozani, Zohreh Sheikh. DOI 10.1016/j.coastaleng.2017.12.012

Stochastic model stationarization by eliminating the periodic term and its effect on time series prediction Journal of Hydrology, 2017. Moeeni, H., Bonakdari, H., Fatemi, S.E.. DOI 10.1016/j.jhydrol.2017.02.012

Closure to "Combination of Computational Fluid Dynamics, Adaptive Neuro-Fuzzy Inference System, and Genetic Algorithm for Predicting Discharge Coefficient of Rectangular Side Orifices" by Hamed Azimi, Saeid Shabanlou, Isa Ebtehaj, Hossein Bonakdari, and Saeid Kardar Journal of Irrigation and Drainage Engineering, 2018. Azimi, Hamed, Shabanlou, Saeid, Ebtehaj, Isa, Bonakdari, Hossein, Kardar, Saeid. DOI 10.1061/(ASCE)IR.1943-4774.0001294

Using two soft computing methods to predict wall and bed shear stress in smooth rectangular channels Applied Water Science, 2017. Khozani, Zohreh Sheikh, Bonakdari, Hossein, Zaji, Amir Hossein. DOI 10.1007/s13201-017-0548-y

Mean bed shear stress estimation in a rough rectangular channel using a hybrid genetic algorithm based on an artificial neural network and genetic programming Scientia Iranica, 2018. Khozani, Z. Sheikh, Bonakdari, H., Zaji, A. H.. DOI 10.24200/sci.2017.4256

New type side weir discharge coefficient simulation using three novel hybrid adaptive neuro-fuzzy inference systems Applied Water Science, 2018. Bonakdari, Hossein, Zaji, Amir Hossein. DOI 10.1007/s13201-018-0669-y

Novel hybrid linear stochastic with non-linear extreme learning machine methods for forecasting monthly rainfall a tropical climate Journal of Environmental Management, 2018. Zeynoddin, Mohammad, Bonakdari, Hossein, Azari, Arash, Ebtehaj, Isa, Gharabaghi, Bahram, Madavar, Hossein Riahi. DOI 10.1016/j.jenvman.2018.05.072

Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA Water Resources Management, 2018. Yaseen, Zaher Mundher, Ghareb, Mazen Ismaeel, Ebtehaj, Isa, Bonakdari, Hossein, Siddique, Ridwan, Heddam, Salim, Yusif, Ali A., Deo, Ravinesh. DOI 10.1007/s11269-017-1797-0

Remote Sensing Satellite Data Preparation for Simulating and Forecasting River Discharge Ieee Transactions on Geoscience and Remote Sensing, 2018. Zaji, Amir Hossein, Bonakdari, Hossein, Gharabaghi, Bahram. DOI 10.1109/TGRS.2018.2799901

Reservoir water level forecasting using group method of data handling Acta Geophysica, 2018. Zaji, Amir Hossein, Bonakdari, Hossein, Gharabaghi, Bahram. DOI 10.1007/s11600-018-0168-4

Standard equations for predicting the discharge coefficient of a modified high-performance side weir Scientia Iranica, 2018. Zaji, A. H., Bonakdari, H., Shamshirband, Sh.. DOI 10.24200/sci.2017.4198

Uncertainty analysis of intelligent model of hybrid genetic algorithm and particle swarm optimization with ANFIS to predict threshold bank profile shape based on digital laser approach sensing Measurement, 2018. Gholami, Azadeh, Bonakdari, Hossein, Ebtehaj, Isa, Mohammadian, Majid, Gharabaghi, Bahram, Khodashenas, Saeed Reza. DOI 10.1016/j.measurement.2018.02.070

A Highly Efficient Gene Expression Programming Model for Predicting the Discharge Coefficient in a Side Weir along a Trapezoidal Canal Irrigation and Drainage, 2017. Azimi, H., Bonakdari, H., Ebtehaj, I.. DOI 10.1002/ird.2127

Application of a neuro-fuzzy GMDH model for predicting the velocity at limit of deposition in storm sewers Journal of Pipeline Systems Engineering and Practice, 2017. Najafzadeh, M., Bonakdari, H.. DOI 10.1061/(ASCE)PS.1949-1204.0000249

Application of firefly algorithm-based support vector machines for prediction of field capacity and permanent wilting point Soil and Tillage Research, 2017. Ghorbani, M.A., Shamshirband, S., Zare Haghi, D., Azani, A., Bonakdari, H., Ebtehaj, I.. DOI 10.1016/j.still.2017.04.009

Combination of computational fluid dynamics, adaptive neuro-fuzzy inference system, and genetic algorithm for predicting discharge coefficient of rectangular side orifices Journal of Irrigation and Drainage Engineering, 2017. Azimi, H., Shabanlou, S., Ebtehaj, I., Bonakdari, H., Kardar, S.. DOI 10.1061/(ASCE)IR.1943-4774.0001190

Comparative Assessment of the Hybrid Genetic Algorithm-Artificial Neural Network and Genetic Programming Methods for the Prediction of Longitudinal Velocity Field around a Single Straight Groyne Applied Soft Computing, 2017. Safarzadeh, Akbar, Zaji, Amir Hossein, Bonakdari, Hossein. DOI 10.1016/j.asoc.2017.06.048

Comparative analysis of GMDH neural network based on genetic algorithm and particle swarm optimization in stable channel design Applied Mathematics and Computation, 2017. Shaghaghi, S., Bonakdari, H., Gholami, A., Ebtehaj, I., Zeinolabedini, M.. DOI 10.1016/j.amc.2017.06.012

Design of a fuzzy differential evolution algorithm to predict non-deposition sediment transport Applied Water Science, 2017. Ebtehaj, Isa, Bonakdari, Hossein. DOI 10.1007/s13201-017-0562-0

Design of an adaptive neuro-fuzzy computing technique for predicting flow variables in a 90 degrees sharp bend Journal of Hydroinformatics, 2017. Gholami, Azadeh, Bonakdari, Hossein, Ebtehaj, Isa, Akhtari, Ali Akbar. DOI 10.2166/hydro.2017.200

Developing an expert group method of data handling system for predicting the geometry of a stable channel with a gravel bed Earth Surface Processes and Landforms, 2017. Gholami, A., Bonakdari, H., Ebtehaj, I., Shaghaghi, S., Khoshbin, F.. DOI 10.1002/esp.4104

Development of group method of data handling based on genetic algorithm to predict incipient motion in rigid rectangular storm water channel Scientia Iranica, 2017. Ebtehaj, I., Bonakdari, H., Khoshbin, F., Bong, Ch. Hin Joo, Ab Ghani, A.. DOI 10.24200/sci.2017.4083

Effects of Width Ratios and Deviation Angles on the Mean Velocity in Inlet Channels Using Numerical Modeling and Artificial Neural Network Modeling International Journal of Civil Engineering, 2017. Karimi, S., Bonakdari, H., Karami, H., Gholami, A., Zaji, A.H.. DOI 10.1007/s40999-016-0075-5

Efficient shear stress distribution detection in circular channels using Extreme Learning Machines and the M5 model tree algorithm Urban Water Journal, 2017. Khozani, Z.S., Bonakdari, H., Zaji, A.H.. DOI 10.1080/1573062X.2017.1325495

Estimating shear stress in a rectangular channel with rough boundaries using an optimized SVM method Neural Computing and Applications, 2017. Khozani, Z.S., Bonakdari, H., Zaji, A.H.. DOI 10.1007/s00521-016-2792-8

Estimating the shear force carried by walls in rough rectangular channels using a new approach based on the radial basis function method International Journal of River Basin Management, 2017. Sheikh Khozani, Z., Bonakdari, H., Akhtari, A.A., Zaji, A.H.. DOI 10.1080/15715124.2017.1307845

Estimating the shear stress distribution in circular channels based on the randomized neural network technique Applied Soft Computing Journal, 2017. Khozani, Z.S., Bonakdari, H., Zaji, A.H.. DOI 10.1016/j.asoc.2017.05.024

Uncertainty Assessment of Entropy-Based Circular Channel Shear Stress Prediction Models Using a Novel Method Geosciences, 2021/07. Amin Kazemian-Kale-Kale, Azadeh Gholami, mohammad rezaie balf, Amir Mosavi, Ahmed A. Sattar, Amir H. Azimi, Bahram Gharabaghi, Hossein Bonakdari. DOI 10.3390/geosciences11080308

Evolutionary Pareto optimization of an ANFIS network for modeling scour at pile groups in clear water condition Fuzzy Sets and Systems, 2017. Azimi, H., Bonakdari, H., Ebtehaj, I., Ashraf Talesh, S.H., Michelson, D.G., Jamali, A.. DOI 10.1016/j.fss.2016.10.010

On the Prediction of Evaporation in Arid Climate Using Machine Learning Model Mathematical and Computational Applications, 2022/04. Mansura Jasmine, Abdolmajid Mohammadian, Hossein Bonakdari. DOI 10.3390/mca27020032

Evolutionary prediction of electrocoagulation efficiency and energy consumption probing Desalination and Water Treatment, 2017. Akhbari, A., Bonakdari, H., Ebtehaj, I.. DOI 10.5004/dwt.2017.20235

Machine Learning Models for Predicting Water Quality of Treated Fruit and Vegetable Wastewater Water, 2021/09. Gurvinder Mundi, Richard G. Zytner, Keith Warriner, Hossein Bonakdari, Bahram Gharabaghi. DOI 10.3390/w13182485

Integrated SARIMA with Neuro-Fuzzy Systems and Neural Networks for Monthly Inflow Prediction Water Resources Management, 2017. Moeeni, H., Bonakdari, H., Ebtehaj, I.. DOI 10.1007/s11269-017-1632-7

Prognostication of Shortwave Radiation Using an Improved No-Tuned Fast Machine Learning Sustainability, 2021/07. isa ebtehaj, Keyvan Soltani, Afshin Amiri, Marzban Faramarzi, Chandra A. Madramootoo, Hossein Bonakdari. DOI 10.3390/su13148009

Monthly reservoir inflow forecasting using a new hybrid SARIMA genetic programming approach Journal of Earth System Science, 2017. Moeeni, H., Bonakdari, H., Ebtehaj, I.. DOI 10.1007/s12040-017-0798-y

A methodological approach of predicting threshold channel bank profile by multi-objective evolutionary optimization of ANFIS Engineering Geology, 2018. Gholami, Azadeh, Bonakdari, Hossein, Ebtehaj, Isa, Gharabaghi, Bahram, Khodashenas, Saeed Reza, Talesh, Seyed Hamed Ashraf, Jamali, Ali. DOI 10.1016/j.enggeo.2018.03.030

Multi-objective evolutionary polynomial regression-based prediction of energy consumption probing Water Science and Technology, 2017. Bonakdari, Hossein, Ebtehaj, Isa, Akhbari, Azam. DOI 10.2166/wst.2017.158

Exploring the Role of Advertising Types on Improving the Water Consumption Behavior: An Application of Integrated Fuzzy AHP and Fuzzy VIKOR Method Sustainability, 2020/02. Amir Hossein Salimi, Amir Noori, Hossein Bonakdari, Jafar Masoompour Samakosh, Ehsan Sharifi, Mohammadreza Hassanvand, Bahram Gharabaghi, Mehdi Agharazi. DOI 10.3390/su12031232

New approach to estimate velocity at limit of deposition in storm sewers using vector machine coupled with firefly algorithm Journal of Pipeline Systems Engineering and Practice, 2017. Ebtehaj, I., Bonakdari, H., Shamshirband, S., Ismail, Z., Hashim, R.. DOI 10.1061/(ASCE)PS.1949-1204.0000252

A Non-Tuned Machine Learning Technique for Abutment Scour Depth in Clear Water Condition Water, 2020/01. Hossein Bonakdari, Fatemeh Moradi, isa ebtehaj, Bahram Gharabaghi, Ahmed A. Sattar, Amir Hossein Azimi, Artur Radecki-Pawlik. DOI 10.3390/w12010301

New radial basis function network method based on decision trees to predict flow variables in a curved channel Neural Computing and Applications, 2017. Gholami, A., Bonakdari, H., Zaji, A.H., Fenjan, S.A., Akhtari, A.A.. DOI 10.1007/s00521-017-2875-1

Novel Hybrid Data-Intelligence Model for Forecasting Monthly Rainfall with Uncertainty Analysis Water, 2019/03. Zaher Yaseen, isa ebtehaj, Sungwon Kim, Hadi Sanikhani, H. Asadi, Mazen Ismaeel Ghareb, Hossein Bonakdari, Wan Hanna Melini Wan Mohtar, Nadhir Al-Ansari, Shahid, S. DOI 10.3390/w11030502

Novel approach for streamflow forecasting using a hybrid ANFIS-FFA model Journal of Hydrology, 2017. Yaseen, Zaher Mundher, Ebtehaj, Isa, Bonakdari, Hossein, Deo, Ravinesh C., Mehr, Ali Danandeh, Mohtar, Wan Hanna Melini Wan, Diop, Lamine, El-shafie, Ahmed, Singh, Vijay P.. DOI 10.1016/j.jhydrol.2017.09.007

Formulating the shear stress distribution in circular open channels based on the Renyi entropy Physica a-Statistical Mechanics and Its Applications, 2018. Khozani, Zohreh Sheikh, Bonakdari, Hossein. DOI 10.1016/j.physa.2017.08.023

Impact of Normalization and Input on ARMAX-ANN Model Performance in Suspended Sediment Load Prediction Water Resources Management, 2018. Moeeni, Hamid, Bonakdari, Hossein. DOI 10.1007/s11269-017-1842-z

Experimental and Numerical Investigation of the Flow Hydraulic in Gradual Transition Open Channels Water Resources, 2018. Asnaashari, Adel, Dehghani, Amir Ahmad, Akhtari, Ali Akbar, Bonakdari, Hossein. DOI 10.1134/S0097807818040036

Development of more accurate discharge coefficient prediction equations for rectangular side weirs using adaptive neuro-fuzzy inference system and generalized group method of data handling Measurement, 2018. Ebtehaj, Isa, Bonakdari, Hossein, Gharabaghi, Bahram. DOI 10.1016/j.measurement.2017.11.023

Evaluating the apparent shear stress in prismatic compound channels using the Genetic Algorithm based on Multi-Layer Perceptron: A comparative study Applied Mathematics and Computation, 2018. Bonakdari, Hossein, Khozani, Zohreh Sheikh, Zaji, Amir Hossein, Asadpour, Navid. DOI 10.1016/j.amc.2018.06.016

Evolutionary design of generalized group method of data handling-type neural network for estimating the hydraulic jump roller length Acta Mechanica, 2018. Azimi, Hamed, Bonakdari, Hossein, Ebtehaj, Isa, Gharabaghi, Bahram, Khoshbin, Fatemeh. DOI 10.1007/s00707-017-2043-9